What is urban analytics? Discuss salient features of urban analytics.

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Urban analytics refers to the use of data-driven approaches, statistical methods, computational models, and technology-based tools to analyze, understand, and improve urban environments. It is a multidisciplinary field that combines elements of urban planning, data science, information technology, geography, and social sciences to study the complex dynamics of cities. The main goal of urban analytics is to enable informed decision-making for sustainable urban development, efficient resource management, and improved quality of life for citizens. With the rapid growth of urban populations and the increasing complexity of urban systems, urban analytics has emerged as an essential tool for policymakers, planners, and city managers to design smart, resilient, and adaptive urban spaces. Urban analytics involves collecting, processing, and interpreting various types of data related to urban life. These data include information about transportation systems, energy consumption, land use, environmental conditions, demographic trends, social behavior, and economic activities. Modern cities generate vast amounts of data from sensors, satellite imagery, GPS devices, mobile applications, social media, and government databases. Urban analytics leverages big data technologies and advanced computational methods to transform these raw data into actionable insights. By _________ ___ __________ __ ___________ _______ ______ _________ __________ _______ ________ ___________ ___.
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Degree : MASTER DEGREE PROGRAMMES
Course Name : Master of Arts (Urban Studies)
Course Code : MAUS
Subject Name : Sustainable Development and Smart Cities
Subject Code : MEDS -048
Year : 2024 2025